In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non-parametric...

involving multivariate data, for example simple linear regression and multiple regression, are not usually considered to be special cases of multivariate statistics...

In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable...

regression local regression multivariate adaptive regression splines smoothing splines neural networks In Gaussian process regression, also known as Kriging...

linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that sense...

estimation algorithm) Local regression Modifiable areal unit problem Multivariate adaptive regression spline Multivariate normal distribution Pearson...

Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes...

linear regression; for more than one, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where...

_{0}=c\mathbf {I} } is called ridge regression. A similar analysis can be performed for the general case of the multivariate regression and part of this provides...

used. (See also multivariate adaptive regression splines.) Penalized splines. This combines the reduced knots of regression splines, with the roughness...